Overview
$$75/hr on C2C
Accepts corp to corp applications
Contract - W2
Contract - 7 month(s)
Skills
Technical Leadership
Enterprise Architecture
Cloud Architecture
IAAS
PAAS
Machine Learning
Deep Learning
PyTorch
Generative AI
solution architecture
Chatbot Development
public sector experience
AI Integration
Hybrid Cloud Models
application modernization
AWS architecture
AI/ML architecture
Natural language processing
LLM deployment
AWS SageMaker
Azure ML
Google Vertex AI
Responsible AI frameworks
AI ethics
Bias mitigation
NIST AI RMF
FedRAMP compliance
FISMA security
Cloud integration
Team supervision
Job Details
Job Title: Senior Cloud AI Architect
Location: Hybrid Must report onsite as directed
Interview: In-person/WebCam
Job Description:
- Plan and schedule team resources, prepare status reports, and ensure documentation for assignments and projects.
- Analyze, develop, and manage work or project plans for architectural initiatives.
- Design, architect, and implement secure and scalable AI/ML solutions in cloud and hybrid environments.
- Architect, design, and modernize enterprise applications to operate in AWS environments.
- Evaluate and recommend AI platforms, frameworks, and tools such as Azure ML, AWS SageMaker, Vertex AI, PyTorch.
- Develop solutions architecture and evaluate alternatives for IaaS, PaaS, hybrid cloud, and modernization initiatives.
- Ensure solutions comply with security, ethics, and responsible AI standards (NIST AI RMF, FedRAMP, etc.).
- Collaborate with technical leaders, stakeholders, and agency teams across multiple projects.
- Supervise and mentor junior architects and technical team members.
- Support design, development, and deployment of advanced AI/ML, GenAI, and chatbot solutions for public sector use cases.
Minimum Qualifications:
- Bachelor's degree in Information Technology, Computer Science, Data Science, or an equivalent work experience.
- At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms
Preferred Qualifications:
- AWS Certified Solutions Architect.
- Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform).
| Skill | Required /Desired | Amount | of Experience |
|---|---|---|---|
| Bachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience. | Required | ||
| Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologie | Required | 5 | Years |
| Enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. | Required | 5 | Years |
| Hands-on technical application architecture experience, including application build and modernization. | Required | 5 | Years |
| AWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION) | Highly desired | ||
| Experience with state and local Government is a plus. | Highly desired | ||
| Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. | Highly desired | ||
| Experience with AI ethics, bias mitigation, and responsible AI frameworks | Highly desired | ||
| Certification in cloud architecture or AI specialties (AWS, Azure, or Google Cloud Platform). (PLS UPLOAD CERTIFICATION) | Highly desired |
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